Abstract
A polyspectra-based solution to the nonparametric multichannel system identification problem is proposed. As an application, the problems of wideband source bearing estimation and identification are considered. Simultaneous detection and parameter estimation of wideband sources arriving at a sensor array are performed using higher-order statistics. Source detection and consistent parameter estimation are approached via a polyspectra-based information theoretic criterion. The proposed methods, besides being insensitive to additive Gaussian noise, are not restricted to minimum phase equivalents and are asymptotically optimal for non-Gaussian signals with unknown distributions.
| Original language | English (US) |
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| Title of host publication | Conference Record - Asilomar Conference on Circuits, Systems & Computers |
| Publisher | Publ by Maple Press, Inc |
| Pages | 383-387 |
| Number of pages | 5 |
| Volume | 1 |
| ISBN (Print) | 0818624701 |
| State | Published - Dec 1 1991 |
| Event | 25th Asilomar Conference on Signals, Systems & Computers Part 1 (of 2) - Pacific Grove, CA, USA Duration: Nov 4 1991 → Nov 6 1991 |
Other
| Other | 25th Asilomar Conference on Signals, Systems & Computers Part 1 (of 2) |
|---|---|
| City | Pacific Grove, CA, USA |
| Period | 11/4/91 → 11/6/91 |